Frontiers in Public Health,
Journal Year:
2024,
Volume and Issue:
12
Published: Sept. 12, 2024
In
the
2020s,
particularly
following
2022,
Chinese
government
introduced
a
series
of
initiatives
to
foster
development
prepared
dishes
sector,
accompanied
by
substantial
investments
from
industrial
capital.
Consequently,
China's
industry
has
experienced
rapid
growth.
Nevertheless,
this
swift
expansion
elicited
varied
public
opinions,
concerning
potential
health
effects
dishes.
Therefore,
study
aims
gather
and
analyze
comments
social
media
on
using
machine
learning
techniques.
The
objective
is
ascertain
perspectives
populace
implications
consuming
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(3), P. 1189 - 1189
Published: Jan. 31, 2024
The
growing
global
emphasis
on
environmental
issues
has
driven
companies
to
exert
greater
efforts
making
their
products
more
sustainable.
Natural
dyeing,
an
eco-friendly
dyeing
method
used
in
the
textile
and
apparel
industry,
is
safer
for
both
environment
human
health,
aligning
with
needs
of
sustainable
design
development.
This
paper
examines
key
factors
affecting
Chinese
consumers’
satisfaction
naturally
dyed
garments,
aiming
provide
research-based
strategies
development
such
garments.
In
this
study,
we
utilized
KJ
detailed
categorization
functionalities
establishing
five
dimensions
thirty
demand
indicators.
Based
this,
KANO
model,
coupled
Better–Worse
coefficient
quadrant
analysis
method,
was
classify
different
items,
ranking
importance.
results
indicate
that
wearing
experience
characteristics
are
determinants
influencing
clothing.
top
significantly
impacting
product
satisfaction,
descending
order
importance,
comfort,
environmentally
friendly
techniques,
safety,
degradability,
durability.
Therefore,
ensure
consumer
clothing,
these
should
be
prioritized
when
a
support
system
caters
needs.
Our
findings
can
help
better
understand
actual
need
enabling
targeted
optimization
enhancing
competitiveness,
promoting
green
transformation
enterprises.
Simultaneously,
study
also
contributes
novel
theoretical
approaches
ideas
future
research
demand.
SSRN Electronic Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
In
the
intricate
tapestry
of
e-commerce,
where
human-generated
content
unveils
a
burst
sentiments
within
visual
expressions,
our
research
propels
exploration
sentiment
analysis
methodologies.
Focused
on
deciphering
nuanced
emotional
undertones
user-generated
content,
approach
integrates
deep
learning,
semantic
text
analysis,
and
human-robot
interaction.
The
interplay
these
methodologies
resonates
with
explosion
inherent
in
human
expression,
acknowledging
multifaceted
nature
encapsulated
pixels.
Our
methodology
begins
learning
assisted
(DLSTA),
robust
framework
designed
for
emotion
detection
using
big
data.
By
harnessing
word
embeddings
natural
language
processing,
model
delves
into
syntactic
intricacies
textual
achieving
an
expressively
superior
rate
98.76%
classification
accuracy
98.67%.
Expanding
beyond
nuances,
extends
to
adapting
developed
dynamic
landscape
e-commerce.
User-generated
product
images
become
focal
points,
adaptability
is
showcased
through
precision,
recall,
F1
score
metrics
across
ten
samples.
expressions
acknowledged,
each
image
presenting
unique
that
navigates
interpretative
finesse.
Human-robot
interaction
emerges
as
pivotal
layer
methodology,
injecting
complexity
depth
analysis.
between
intuition
computational
precision
mirrors
capturing
not
only
static
but
evolving
stream
encountered
digital
marketplace.
Frontiers in Sustainable Food Systems,
Journal Year:
2025,
Volume and Issue:
9
Published: Jan. 22, 2025
Introduction
With
the
growing
awareness
of
sustainable
development,
organic
food
has
been
favored
by
consumers
due
to
its
advantages
in
both
human
health
and
environmental
sustainability.
However,
economic
ecological
values
have
two
factors
that
weigh.
Online
reviews,
as
an
important
source
data
for
capturing
consumers’
perceived
value,
especially
temporal
information
provide
new
opportunities
revealing
dynamic
impact
value
on
satisfaction.
Methods
Based
63,674
online
this
study
utilizes
structural
topic
modeling
identify
specific
dimensions
perceptions
food,
incorporates
multiple
linear
regression
explore
effects
these
consumer
satisfaction
their
trends.
Results
The
results
indicate
significantly
enhance
with
food.
Further,
found
positive
effect
increased
over
time,
while
gradually
weakened.
Discussion
This
theoretically
provides
a
research
idea
based
review
data,
reveals
satisfaction,
adding
perspective
consumption
research.
Practically,
reference
marketing
product
optimization
industry,
terms
behavior
analysis
market
positioning.
